We choose the convention for the remaining article to discuss the half-maximal response in terms of IC50. Your choice of modeling IC50 or EC50 is simply based on whether you’re modeling an inhibitor (antagonist) or a stimulant (agonist). These include how to fit the endpoint values (effectively the none versus infinite dosing), choosing relative (recommended) versus absolute IC50, and a discussion on normalizing the data (generally unnecessary) so that the response is between 0 and 100. If you haven’t read it already, we recommend this excellent article, which details the ideal IC50 scenario (see photo below) and clarifies several choices that need to be made when fitting IC50. IC50 and EC50 are, respectively, the inhibition and effective concentrations that produce 50% of maximal response from a drug or treatment dose. In this article, we provide a summary, link to additional content, and address some of the frequently asked questions when a model doesn’t fit. We have a lot of great information about IC50 and EC50. In GraphPad, these are found in the curve fitting sections. IC50 and EC50, which are common metrics in pharmacological research, are estimated using dose-response models.
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